Expert Mode: Closing the B2B Activation Gap with an Ecosystem Approach
This article was based on the interview with Mark Connon, CEO at Bombora by Greg Kihlström, AI adoption and MarTech keynote speaker for the B2B Agility with Greg Kihlström podcast. Listen to the original episode here:
We’ve all been there. You’re a B2B marketing leader by day, meticulously orchestrating complex, multi-touch attribution models and nurturing six-figure deals through a nine-month sales cycle. By night, you’re just another consumer.
You briefly consider buying a new pair of running shoes, add them to a cart, get distracted, and for the next week, those shoes become your digital shadow, following you from social media feeds to news sites with an unnerving, almost clairvoyant precision. It’s a stark reminder of a gap that has long plagued our industry: the chasm between the hyper-personalization of B2C marketing and the often-blunt instrumentation of B2B.
The standard explanation for this disparity—the infamous B2B buying committee—is certainly part of the story. But it’s not the whole story. The challenge runs deeper, rooted in fundamental issues of data visibility, fragmentation, and the very architecture of an advertising ecosystem built primarily for a one-to-one consumer relationship. While B2C marketers target an individual, we target an organization, a buying group within that organization, and specific roles within that group, all at different stages of a non-linear journey. For years, this complexity has made true precision feel more like an aspiration than a reality. But a new approach is emerging, one that moves away from the fool’s errand of building a single, monolithic data source and instead embraces a collaborative, ecosystem-driven model.
The Fundamental Disconnect: People vs. Companies
The core reason B2B advertising has trailed its consumer-focused counterpart isn’t a lack of sophistication among its practitioners. It’s a structural mismatch. The digital advertising infrastructure was largely designed to connect a single brand with a single consumer. Applying that same logic to the intricate web of a corporate purchase is like trying to use a screwdriver to hammer a nail. Mark Connon, CEO of Bombora, frames this fundamental difference as a matter of visibility and focus.
“In the B2C world… it’s kind of a one to one relationship between brand or agency and the consumer… With B2B, the focus is on not so much the person but the company. And not just the company, but the buying group within the company.”
This shift in focus from an individual to a collective changes everything. B2C targeting relies on identifying a person and their direct interests. B2B requires a multi-layered understanding: identifying which companies are in-market, mapping the key personas within those companies (the economic buyer, the technical user, the champion), and then finding a way to address those individuals within the vast digital ecosystem. Each layer adds complexity and potential points of failure. The data signals are often disparate—firmographics from one source, intent signals from another, contact data from a third. Stitching them together into a coherent, actionable audience has been the central, and often frustrating, challenge for B2B marketers.
Beyond Wasted Ad Spend: The Strategic Cost of Imprecision
In the world of B2C, a mistargeted ad for a pair of sneakers results in a few dollars of wasted media spend. It’s inefficient, but rarely catastrophic. In B2B, the consequences of imprecision are orders of magnitude greater. When your average deal size is in the six or seven figures and the sales cycle spans multiple quarters, being late to the conversation isn’t just a tactical error; it’s a strategic failure. The real risk isn’t just wasted budget, but missing out on the market itself.
“Because of the length of sales cycles and the size of the transactions in B2B, missing out on or being late to the party on a company that’s in market for your solution can have a long-term impact… not doing it right means you’re missing opportunity. It means you’re getting involved late in a sales cycle. It means you’re missing that RFP process.”
Connon’s point here is critical for any marketing leader justifying their budget. The ROI of precise B2B advertising isn’t just about lowering cost-per-click or cost-per-lead. It’s about securing a seat at the table before the table is even fully set. The early stages of the buyer’s journey—problem identification and solution exploration—are where influence is greatest and brand preference is formed. Being absent from this critical window means you’re relegated to competing on price and features later in the cycle, a far weaker position. The true cost of poor audience activation is the pipeline you never knew you missed and the market share that goes to a competitor who showed up first.
The Ecosystem Solution: Strength in Specialization
If the problem is fragmented data, the logical-but-flawed solution many have chased is to build a single, all-encompassing database. The reality is that no single provider can be the best source for every type of B2B signal. A more intelligent and sustainable approach is to create an ecosystem where best-in-class, specialized data partners can be combined. Bombora’s history is rooted in a co-op model with B2B publishers, and they are now extending this philosophy to other data providers.
“We’re kind of founded on this notion of a data co-op… Taking that same concept… to other players in the ecosystem who may not necessarily either have had historically wanted to, or had the ability to activate their data in an advertising environment and saying, look, we’ve, we’ve got the infrastructure, we’ve got the plumbing, we have the relationships.”
This is where B2B marketing gets truly interesting. Imagine creating an audience of companies that have recently received Series B funding (from Crunchbase data), are actively comparing solutions in your software category (from G2 data), and are consuming content about a specific business challenge that your product solves (from Bombora’s intent data). This isn’t a simple list; it’s a multi-dimensional, high-fidelity signal of a company that is not only in-market but also has the budget and momentum to make a purchase. This curated, “recipe-based” approach allows marketers to build audiences that were previously impossible, moving from broad firmographic targeting to nuanced, behavior-based activation. It acknowledges that the sum is far more powerful than its individual parts.
Closing the Loop: Activation and Evolved Measurement
Of course, a brilliantly crafted audience is useless if it remains siloed in a spreadsheet. The final piece of the puzzle is seamless activation and meaningful measurement. The goal is to get these highly specific audiences into the platforms where media is being bought—DSPs like The Trade Desk, social platforms, and other programmatic channels—without friction. But just as the targeting becomes more sophisticated, so too must the measurement. The pass/fail metric of “did we reach someone at our target account?” is no longer sufficient.
“What you show the brand is, you know, the type of engagement, the number of times it’s engaged with that company, the reactions and sort of click through… Now you’ve got more data, which demonstrates intent. It’s like, okay, that company, not only did I reach them, but they really engaged. Okay. So now I’m putting that company into a different category.”
This represents a critical evolution in B2B campaign measurement. It shifts the focus from simple reach to demonstrated engagement. This richer data set doesn’t just validate past media spend; it becomes a powerful signal for the next action. An account showing high engagement can be prioritized for sales outreach. Content can be tailored based on the topics that are clearly resonating. This creates a virtuous cycle, where advertising doesn’t just generate awareness but also functions as a discovery and qualification engine, feeding intelligence back into the marketing and sales process and turning the top of the funnel into a source of strategic insight.
The disparity between B2C and B2B targeting precision is finally beginning to close. The solution wasn’t to simply build a bigger database, but to build a smarter, more connected one. By embracing an ecosystem model that unites specialized data sources, B2B marketers can now construct audiences with a level of granularity that was once the exclusive domain of their B2C peers. This allows for not just more efficient media spend, but more strategically sound marketing that gets brands into critical conversations earlier and with more relevance.
This shift couldn’t be more timely. As the digital world moves toward a more privacy-conscious, post-cookie future, consent-driven and cooperative data models will become the bedrock of sustainable advertising. For enterprise marketing leaders, this isn’t just a new tool in the toolbox; it’s a fundamental change in how we can understand, engage, and win our markets. The technology is finally catching up to the complexity of our customers, and for those ready to adopt this new way of thinking, the opportunity is immense.
